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  • Dr Kun Hu

    Dr Kun Hu

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  • ORCiD profile
    https://orcid.org/0000-0002-6891-8059
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  • Google Scholar profile
    https://scholar.google.com/citations?user=_UiH_xgAAAAJ
  • Google Scholar profile

Dr Kun Hu

Lecturer

Staff Member Details
Email: k.hu@ecu.edu.au

Kun is a Lecturer in Computer Science in the School of Science.

Kun is a Lecturer specialising in multimedia computing and artificial intelligence. He received his Ph.D. from the University of Sydney in 2022. He has contributed to the field through 40+ top-tier publications, 25+ of which are ranked as CORE A*/A. He served as a guest editor for the journals IEEE JSTARS, and Remote Sensing. He is a publication chair for ACM MM Asia 2025, organized workshops at ACM MM 2024 and ACM MM Asia 2024, and chaired the PhD School at ACM MM Asia 2024. He also served on various technical program committees for conferences such as CVPR, ICML, MM, AAAI, ACL, IJCAI, ECCV, among others. He has been honored with the APRS (Australian Pattern Recognition Society) Best Paper Award in 2022 and 2023, and the ACM MM Asia 2024 Best Paper Runner-up Award.

Current Teaching

  • CSI3344: Distributed Systems
  • CSP2348: Data Structures

Research Areas and Interests

  • Multimedia content understanding
  • Multimedia content generation
  • AI for science and social good

Professional Memberships

  • 2021 - Institute of Electrical and Electronics Engineers, IEEE (Member)

Awards and Recognition

National and International Awards

  • 2022 - APRS (Australian Pattern Recognition Society) Best Paper Award
  • 2023 - APRS (Australian Pattern Recognition Society) Best Paper Award
  • 2024 - ACM Multimedia Asia 2024 Best Paper Runner-up Award

Qualifications

  • Doctor of Philosophy, The University of Sydney, 2022.

Research Outputs

2025

Journal Articles

  • Xiao, S., Dhand, NK., Wang, Z., Hu, K., Thomson, PC., House, JK., Khatkar, MS. (2025). Review of applications of deep learning in veterinary diagnostic and animal health. Frontiers in Veterinary Science, 12 - 2025(N/A), N/A. https://doi.org/10.3389/fvets.2025.1511522.

Conference Publications

  • Mo, CA., Hu, K., Long, C., Yuan, D., Wang, Z. (2025). Motion Keyframe Interpolation for Any Human Skeleton via Temporally Consistent Point Cloud Sampling and Reconstruction. Computer Vision – ECCV 2024 (159-175). Springer Nature. https://doi.org/10.1007/978-3-031-73007-8_10.

2024

Journal Articles

  • Chen, H., Hu, K., Filippi, P., Xiang, W., Thomas, B., Wang, Z. (2024). Siamese Biattention Pooling Network for Change Detection in Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17(N/A), 7278 - 7291. https://doi.org/10.1109/JSTARS.2024.3373753.
  • Hu, K., Wang, Z., Coleman, G., Bender, A., Yao, T., Zeng, S., Song, D., Schumann, A., Walsh, M. (2024). Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review. Precision Agriculture, 25(1), 1-29. https://doi.org/10.1007/s11119-023-10073-1.

Conference Publications

  • Shen, J., Hu, K., Bao, W., Chen, CW., Wang, Z. (2024). Bridging the Gap: Sketch-Aware Interpolation Network for High-Quality Animation Sketch Inbetweening. MM '24: Proceedings of the 32nd ACM International Conference on Multimedia (10287–10295). Association for Computing Machinery. https://doi.org/10.1145/3664647.3681146.

Research Student Supervision

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